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Circuits, Systems, and Signal Processing

03.12.2024

\(H_{\infty }\) Control of Nonlinear Networked Cascade Control System under Multi-channel Quantization and Event-triggered Mechanism

verfasst von: Xiao-Yan Wang, Xiao-Heng Chang, Xi-Ming Liu

Erschienen in: Circuits, Systems, and Signal Processing

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Abstract

In this paper, the problem of state feedback quantized controller design for nonlinear networked cascade control system under multi-channel adaptive event-triggered strategy is studied. Based on the Takagi-Sugeno fuzzy model, the nonlinear system is modeled. An improved adaptive event-triggered mechanism is proposed, in which the dynamic threshold function is composed of multiple dynamic sub-functions, and the sampling data and trigger data of the sensor-controller are fully considered, which significantly alleviates the network burden of the communication channel. In addition, the dynamic quantization parameters of the dynamic quantizer are improved. The dynamic quantization parameters are coordinated by the quantized signal and the original parameters, which ensures that there is no singularity problem in the dynamic quantization parameters. Finally, the effectiveness and superiority of the proposed design method are verified by simulation examples.

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Literatur
1.
L.J. Cai, X.H. Chang, Reduced-order filtering for discrete-time singular systems under fading channels. Int. J. Syst. Sci. 434, 99–112 (2022)MathSciNet
2.
D.F. Coutinho, M. Fu, C.E. de Souza, Input and output quantized feedback linear systems. IEEE Trans. Automat. Control 55(3), 761–766 (2010)MathSciNetCrossRef
3.
Z.P. Du, W.R. Yuan, S.L. Hu, Discrete-time event-triggered H-infinity stabilization for networked cascade control systems with uncertain delay. J. Franklin Inst. 356, 9524–9544 (2019)MathSciNetCrossRef
4.
Z.P. Du, Z.L. Zou, H. Ye, J.Z. Li, Sliding mode control for nonlinear discrete networked cascade control systems with uncertain delay. Int. J. Control Automat. Syst. 21, 3883–3895 (2023)CrossRef
5.
X.C. Gao, W.W. Sun, X.Y. Chen, L.S. Ding, Torus-event-based fault estimation for stochastic nonlinear systems with randomly occurring saturation and missing measurements. Circuits Syst. Signal Process. 43, 4790–4812 (2024)CrossRef
6.
C. Huang, Y. Bai, X. Liu, H-infinity state feedback control for a class of networked cascade control systems with uncertain delay. IEEE Trans. Ind. Inform. 6(1), 62–72 (2010)CrossRef
7.
W. Huo, K.F.E. Tsang, Y.M. Yan, K.H. Johansson, L. Shi, Distributed nash equilibrium seeking with stochastic event-triggered mechanism. Automatica 162, 111486 (2024)MathSciNetCrossRef
8.
A. Kazemy, R. Saravanakumar, Event-triggered networked cascade control systems design subject to hybrid attacks. Math. Meth. Appl. Sci. 47, 2609–2622 (2023)MathSciNetCrossRef
9.
M. Kchaou, M.M. Tajudeen, M.S. Ali, G. Rajchakit, G. Shanthi, J.D. Cao, Asynchronous \({H}_{\infty }\) control for IT2 fuzzy networked system subject to hybrid attacks via improved event-triggered scheme. Inf. Sci. 666, 120390 (2024)CrossRef
10.
X.M. Liu, X.H. Chang, Adaptive event-triggered tracking control for nonlinear networked systems with dynamic quantization and deception attacks. Int. J. Robust Nonlinear Control 34(12), 8311–8333 (2024)MathSciNetCrossRef
11.
J.L. Liu, Y.H. Dong, L.J. Zha, E.G. Tian, X.P. Xie, Event-based security tracking control for networked control systems against stochastic cyber-attacks. Inf. Sci. 612, 306–321 (2022)CrossRef
12.
L.J. Long, G. Gao, Dynamic event-triggered prescribed performance control for nonlinear systems with signal temporal logic. Int. J. Robust Nonlinear Control 34(7), 4753–4768 (2024)MathSciNetCrossRef
13.
J. Liu, Y. Gu, X. Xie, D. Yue, J.H. Park, Hybrid-driven-based \({H}_{\infty }\) control for networked cascade control systems with actuator saturations and stochastic cyber attacks. IEEE Trans. Syst. Man Cybern. Syst. 49(12), 2452–2463 (2019)CrossRef
14.
Y.X. Li, X. Hu, W. Che, Z. Hou, Event-based adaptive fuzzy asymptotic tracking control of uncertain nonlinear systems. IEEE Trans. Fuzzy Syst. 29(10), 3003–3013 (2021)CrossRef
15.
S.Y. Lee, J.M. Park, Sampled-data stabilization for networked control systems under deception attack and the transmission delay. Commun. Nonlinear Sci. Numer. Simulat. 131, 107817 (2024)MathSciNetCrossRef
16.
K. Mathiyalagan, J.H. Park, R. Sakthivel, New results on passivity-based \({H}_{\infty }\) control for networked cascade control systems with application to power plant boiler-turbine system. Nonlin. Anal. Hybrid Syst. 17, 56–69 (2015)MathSciNetCrossRef
17.
D. Maity, P. Tsiotras, Optimal controller synthesis and dynamic quantizer switching for linear-quadratic-gaussian systems. IEEE Trans. Automat. Control 67(1), 382–389 (2022)MathSciNetCrossRef
18.
S. Ohno, Y. Ishihara, M. Nagahara, Min-max design of error feedback quantizers without overloading. IEEE Trans. Circuits Syst. Regul. Pap. 65(4), 1395–1405 (2018)MathSciNetCrossRef
19.
H. Okajima, K. Sawada, N. Matsunaga, Dynamic quantizer design under communication rate constraints. IEEE Trans. Automat. Control 61(10), 3190–3196 (2016)MathSciNetCrossRef
20.
Y. Pan, W. Ji, H.K. Lam, L. Cao, An improved predefined-time adaptive neural control approach for nonlinear multiagent systems. IEEE Trans. Automat. Sci. Eng. 21(4), 6311–6320 (2024)CrossRef
21.
C. Peng, M.J. Yang, J. Zhang, M.R. Fei, S.L. Hu, Network-based \({H}_{\infty }\) control for T-S fuzzy systems with an adaptive event-triggered communication scheme. Fuzzy Sets Syst. 329, 61–76 (2017)MathSciNetCrossRef
22.
Y. Sun, L. Li, D.W.C. Ho, Quantized synchronization control of networked nonlinear systems: dynamic quantizer design with event-triggered mechanism. IEEE Trans. Cybern. 53(1), 184–196 (2023)CrossRef
23.
S. Santra, R. Sakthivel, K. Mathiyalagan, S.M. Anthoni, Exponential passivity results for singular networked cascade control systems via sampled-data control. J. Dyn. Sys. Meas. Control 139(3), 031001 (2017)CrossRef
24.
P. Shi, H. Wang, C.C. Lim, Network-based event-triggered control for singular systems with quantizations. IEEE Trans. Ind. Electron. 63(2), 1230–1238 (2016)CrossRef
25.
Y. Su, D.M. Yang, J.C. Ren, Event-triggered \({H}_{\infty }\) sliding mode control for discrete-time singular Markov jump systems with uncertainties in the difference matrix. Circuits. Syst. Signal Process. 43, 4767–4789 (2024)
26.
R. Takahashi, S.I. Azuma, T. Hikihara, Power regulation with predictive dynamic quantizer in power packet dispatching system. IEEE Trans. Ind. Electron. 63(12), 7653–7661 (2016)CrossRef
27.
X.Y. Wang, X.H. Chang, Nonlinear continuous-time system \({H}_{\infty }\) control based on dynamic quantization and event-triggered mechanism. Neural Process. Lett. 55, 12223–12238 (2023)CrossRef
28.
C. Wu, X. Zhao, B. Wang, W. Xing, L. Liu, X. Wang, Model-based dynamic event-triggered control for cyber-physical systems subject to dynamic quantization and DoS attacks. IEEE Trans. Netw. Sci. Eng. 9(4), 2406–2417 (2022)MathSciNetCrossRef
29.
J. Xu, J. Cheng, H. Yan, J.H. Park, W. Qi, Protocol-based control for semi-Markov jump systems with dynamic quantization. IEEE Trans. Circuits Syst. II Exp. Briefs 69(11), 4428–4432 (2022)
30.
X.Q. Xiao, J.H. Park, L. Zhou, Event-triggered \({H}_{\infty }\) filtering of discrete-time switched linear systems. ISA Trans. 77, 112–121 (2018)CrossRef
31.
L.T. Xing, C.Y. Wen, Z.T. Liu, G.Y. Lai, H.Y. Su, Robust adaptive output feedback control for uncertain nonlinear systems with quantized input. Int. J. Robust Nonlinear Control 27(11), 1999–2016 (2017)MathSciNetCrossRef
32.
S. Yang, Y. Pan, L. Cao, L. Chen, Predefined-time fault-tolerant consensus tracking control for multi-UAV systems with prescribed performance and attitude constraints. IEEE Trans. Aerosp. Electron. Syst. 60(4), 4058–4072 (2024)CrossRef
33.
D. Yue, E. Tian, Q.L. Han, A delay system method for designing event-triggered controllers of networked control systems. IEEE Trans. Automat. Control 58(2), 475–481 (2013)MathSciNetCrossRef
34.
M. Yang, J.Y. Zhai, Observer-based dynamic event-triggered secure control for nonlinear networked control systems with false data injection attacks. Inf. Sci. 644, 119262 (2023)CrossRef
35.
X.Y. Zhao, X.H. Chang, \({H}_{\infty }\) filtering for nonlinear discrete-time singular systems in encrypted state. Neural Process. Lett. 55, 2843–2866 (2022)CrossRef
36.
J.Y. Zhai, Event-triggered control for p-normal uncertain nonlinear systems. Nonlinear Dyn. 112(5), 3661–3677 (2024)CrossRef
37.
N. Zhao, P. Shi, W. Xing, C.P. Lim, Resilient adaptive event-triggered fuzzy tracking control and filtering for nonlinear networked systems under denial-of-service attacks. IEEE Trans. Fuzzy Syst. 30(8), 3191–3201 (2022)CrossRef
38.
X.Z.L. Zhang, G. Zong, N. Zhao, Real-time reachable set control for singular Markov jump networked cascade systems. IEEE Trans. Circuits Syst. II: Exp. Briefs 69(3), 1124–1128 (2022)
39.
Q.X. Zheng, S.Y. Xu, B.Z. Du, Nonfragile \({H}_{\infty }\) observer-based fuzzy control for nonlinear networked control systems with multipath packet dropouts. Commun. Nonlinear Sci. Numer. Simulat. 131, 107851 (2024)MathSciNetCrossRef
40.
J. Zhu, Z. Xie, Y.B. Zhao, G.E. Dullerud, Event-triggered asynchronous filtering for networked fuzzy non-homogeneous Markov jump systems with dynamic quantization. Int. J. Adapt. Control Signal Process. 37(3), 811–835 (2023)MathSciNetCrossRef
41.
J.J. Zhu, G.M. Zhuang, G.L. Chen, X.P. Xie, Static output feedback quantized dissipative security control of singular hybrid systems subject to multiple cyber attacks: A dynamic-memory event-triggered strategy. Commun. Nonlinear Sci. Numer. Simulat. 128, 107652 (2024)MathSciNetCrossRef
Metadaten
Titel
Control of Nonlinear Networked Cascade Control System under Multi-channel Quantization and Event-triggered Mechanism
verfasst von
Xiao-Yan Wang
Xiao-Heng Chang
Xi-Ming Liu
Publikationsdatum
03.12.2024
Verlag
Springer US
Erschienen in
Circuits, Systems, and Signal Processing
Print ISSN: 0278-081X
Elektronische ISSN: 1531-5878
DOI
https://doi.org/10.1007/s00034-024-02929-2